Department of Veteran Affairs plays key role in shaping U.S. hearing health care

2001 ◽  
Vol 54 (2) ◽  
pp. 21-22
Author(s):  
Judith Nemes
2011 ◽  
Vol 176 (2) ◽  
pp. 214-217 ◽  
Author(s):  
Scott Selinger ◽  
Marcos I. Restrepo ◽  
Laurel A. Copeland ◽  
Mary Jo V. Pugh ◽  
Brandy Nakashima ◽  
...  

2004 ◽  
Vol 169 (3) ◽  
pp. 243-250 ◽  
Author(s):  
JoAnn Damron-Rodriguez ◽  
Whitney White-Kazemipour ◽  
Donna Washington ◽  
Valentine M. Villa ◽  
Shawkat Dhanani ◽  
...  

2020 ◽  
Vol 5 (5) ◽  
pp. 1175-1187
Author(s):  
Rachel Glade ◽  
Erin Taylor ◽  
Deborah S. Culbertson ◽  
Christin Ray

Purpose This clinical focus article provides an overview of clinical models currently being used for the provision of comprehensive aural rehabilitation (AR) for adults with cochlear implants (CIs) in the Unites States. Method Clinical AR models utilized by hearing health care providers from nine clinics across the United States were discussed with regard to interprofessional AR practice patterns in the adult CI population. The clinical models were presented in the context of existing knowledge and gaps in the literature. Future directions were proposed for optimizing the provision of AR for the adult CI patient population. Findings/Conclusions There is a general agreement that AR is an integral part of hearing health care for adults with CIs. While the provision of AR is feasible in different clinical practice settings, service delivery models are variable across hearing health care professionals and settings. AR may include interprofessional collaboration among surgeons, audiologists, and speech-language pathologists with varying roles based on the characteristics of a particular setting. Despite various existing barriers, the clinical practice patterns identified here provide a starting point toward a more standard approach to comprehensive AR for adults with CIs.


2020 ◽  
Author(s):  
Jan-Willem Wasmann ◽  
Cris Lanting ◽  
Wendy Huinck ◽  
Emmanuel Mylanus ◽  
Jeroen van der Laak ◽  
...  

The global digital transformation enables computational audiology for advanced clinical applications that have the potential to impact the global burden of hearing loss. In this paper we describe emerging hearing-related artificial intelligence applications and argue for their potential to improve access, precision and efficiency of hearing health care services. In addition, we raise awareness of risks that must be addressed to enable a safe digital transformation in audiology. We envision a future where computational audiology is implemented via open-source models using interoperable shared data and where health care providers adopt new roles within a network of distributed expertise. All of this should take place in a health care system where privacy, the responsibility of each stakeholder and, most importantly, the safety and autonomy of patients are all guarded by design.


Author(s):  
James W. Hall III

Background and Aim: Comorbid conditions and unhealthy lifestyles are risk factors for auditory dysfunction, including age-related hearing loss. With a focus on adults, this paper describes a new approach to hearing health care that aims to prevent or mitigate hearing loss and related disorders, like tinnitus. Accurate diagnosis and effective management of hearing loss is best achieved with a patient-specific test battery that includes sensitive measures of peripheral and central auditory function. Background and Aim: Comorbid conditions and unhealthy lifestyles are risk factors for auditory dysfunction, including age-related hearing loss. With a focus on adults, this paper describes a new approach to hearing health care that aims to prevent or mitigate hearing loss and related disorders, like tinnitus. Accurate diagnosis and effective management of hearing loss is best achieved with a patient-specific test battery that includes sensitive measures of peripheral and central auditory function. Conclusion: The traditional model for hearing health care service delivery relies on a rather outdated and simplistic protocol for evaluating and describing hearing loss, and a technologyfocused approach for management. This paper offers an evidence-based rationale for expanding the test battery for diagnosing hearing loss, and a multidisciplinary intervention approach.   Keywords: Comorbid conditions; smoking; diet; value-added tests


2021 ◽  
pp. 1-7
Author(s):  
Vinaya Manchaiah ◽  
De Wet Swanepoel ◽  
Rebecca J. Bennett

Purpose The study examined psychologically meaningful language dimensions (i.e., social and emotional dimensions, health dimensions, and personal concerns) within online consumer reviews on hearing health care services using an automated textual analysis approach. Method Nine thousand six hundred twenty-two consumer reviews of hearing health care services, including an open-ended question (i.e., free text response to the prompt “share details of your own experience at this place”) and an overall rating (on a 5-point scale ranging from “very good” to “very poor”) were extracted from Google.com from 40 different cities across the United States. In addition, some metadata about the cities (i.e., region, population size, median age, percentage of older adults) were also recorded. Text responses were analyzed using the automated Linguistic Inquiry and Word Count software for selected language dimensions. The language dimensions of online hearing health care reviews were descriptively compared with language dimensions observed in the natural language of typical bloggers. Language dimensions from free text responses were correlated with quantitative overall experience ratings. Results Automated linguistic analysis showed that consumer reviews on hearing health care services had higher social processes, positive emotions, hearing, health, money, and work, and lower negative emotions and time-awareness when compared to typical bloggers. Examining the association between overall experience rating and the language dimensions reveled two broad findings. First, higher engagement of consumers in terms of social processes, positive emotions, hearing, and work dimensions was related to higher experience ratings. Second, higher engagement of consumers in terms of negative emotions, time awareness, and money was related to lower experience ratings. Conclusions Online reviews contain information about various dimensions (i.e., social and emotional dimensions as well as personal concerns) that have bearing toward the way in that they rate their health care experiences. Automated linguistic analysis of consumer reviews appears helpful in identifying gaps in service delivery that may influence consumer experience.


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